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Signed in as:
filler@godaddy.com
Helping AI see small communities the way locals do. On the ARISE community resilience project, I'm co-designing an AI search tool with small coastal communities. It's meant to show how local people, places and groups connect, without exposing what should stay private.
Small coastal communities are often missing from national datasets and service directories. In Martham, for example, the nearest Alzheimer's Society office is over two hours away by public transport. Yet existing local groups and activities could already help people living with dementia.
That gap matters for social care. A care coordinator building a plan that fits the person and the place has difficulties using a basic search as information about social care is disparate.
AI search tools don't fix this on their own: research shows they too describe places more like a tourist than a local (Gao and Thebault-Spieker, 2026). But improving them to be hyper-local presents ethical issues.
The question: how might we co-create a community app in a way that is ethical and respectful of small coastal communities?
I was responsible for exploring how AI being developed for hyper-local searching should be developed. In practice, that meant:
I work with my line manager.

I built a preliminary knowledge graph from ARISE's resilience map, its survey of community resources and a review of others' work.

A knowledge graph, or "mind map" of how local places, groups, activities and organisations connect and
instructions, or set rules for how the tool answers. I prepared generic versions of both as starting points.

The prototype runs on a university-managed device in a closed system. It's framed as a research prototype for discussion, not a service being rolled out.

Members reviewed a generic knowledge graph of village resources in three groups: resources, capacities and relations. They marked what was missing, wrong, too sensitive to include or extremely important.

Residents will shape their own knowledge graph and instructions. We'll then share the prototype with councils, care coordinators and policymakers to ask whether and how it should be used.
The project is still in its testing stage. More insights and information to come.
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